@InProceedings{8553501,
  author = {D. Salvati and C. Drioli and G. L. Foresti},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Joint Identification and Localization of a Speaker in Adverse Conditions Using a Microphone Array},
  year = {2018},
  pages = {21-25},
  abstract = {We discuss a joint identification and localization microphone array system based on diagonal unloading (DU) beamforming, which has been recently introduced for acoustic source localization. First, we propose a DU beamformer version for the signal enhancement problem. Then, we propose a enhanced DU steered response power (SRP), in which the first estimate of the source position is further refined with the information gathered from the speaker recognition module. The enhanced SRP-DU is obtained by weighting the frequency components with respect to the spectral characteristics of the speaker. The approach does not add significant computational load to the array processing. Experiments conducted in noisy and reverberant conditions show that the use of the DU beamformer provides better speaker recognition performance if compared to the conventional one since it reduces deleterious effects due to the spatially white noise and point-source interferences. Simulations also show that the speaker identification can improve the localization accuracy, and it is thus interesting for applications and systems which rely on Intearated localization and speaker identification.},
  keywords = {acoustic signal processing;array signal processing;correlation methods;direction-of-arrival estimation;microphone arrays;reverberation;signal classification;speaker recognition;white noise;joint identification;adverse conditions;localization microphone array system;diagonal unloading beamforming;acoustic source localization;DU beamformer version;signal enhancement problem;enhanced DU;response power;source position;speaker recognition module;enhanced SRP-DU;frequency components;spectral characteristics;array processing;noisy conditions;reverberant conditions;speaker recognition performance;point-source interferences;speaker identification;localization accuracy;Intearated localization;computational load;Array signal processing;Microphone arrays;Covariance matrices;Mel frequency cepstral coefficient;Direction-of-arrival estimation;Acoustic source localization;speaker identification;beamforming;diagonal unloading;microphone array},
  doi = {10.23919/EUSIPCO.2018.8553501},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570438233.pdf},
}

{"_id":"mPDHszBizP7gahWyY","bibbaseid":"salvati-drioli-foresti-jointidentificationandlocalizationofaspeakerinadverseconditionsusingamicrophonearray-2018","authorIDs":[],"author_short":["Salvati, D.","Drioli, C.","Foresti, G. L."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["D."],"propositions":[],"lastnames":["Salvati"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Drioli"],"suffixes":[]},{"firstnames":["G.","L."],"propositions":[],"lastnames":["Foresti"],"suffixes":[]}],"booktitle":"2018 26th European Signal Processing Conference (EUSIPCO)","title":"Joint Identification and Localization of a Speaker in Adverse Conditions Using a Microphone Array","year":"2018","pages":"21-25","abstract":"We discuss a joint identification and localization microphone array system based on diagonal unloading (DU) beamforming, which has been recently introduced for acoustic source localization. First, we propose a DU beamformer version for the signal enhancement problem. Then, we propose a enhanced DU steered response power (SRP), in which the first estimate of the source position is further refined with the information gathered from the speaker recognition module. The enhanced SRP-DU is obtained by weighting the frequency components with respect to the spectral characteristics of the speaker. The approach does not add significant computational load to the array processing. Experiments conducted in noisy and reverberant conditions show that the use of the DU beamformer provides better speaker recognition performance if compared to the conventional one since it reduces deleterious effects due to the spatially white noise and point-source interferences. Simulations also show that the speaker identification can improve the localization accuracy, and it is thus interesting for applications and systems which rely on Intearated localization and speaker identification.","keywords":"acoustic signal processing;array signal processing;correlation methods;direction-of-arrival estimation;microphone arrays;reverberation;signal classification;speaker recognition;white noise;joint identification;adverse conditions;localization microphone array system;diagonal unloading beamforming;acoustic source localization;DU beamformer version;signal enhancement problem;enhanced DU;response power;source position;speaker recognition module;enhanced SRP-DU;frequency components;spectral characteristics;array processing;noisy conditions;reverberant conditions;speaker recognition performance;point-source interferences;speaker identification;localization accuracy;Intearated localization;computational load;Array signal processing;Microphone arrays;Covariance matrices;Mel frequency cepstral coefficient;Direction-of-arrival estimation;Acoustic source localization;speaker identification;beamforming;diagonal unloading;microphone array","doi":"10.23919/EUSIPCO.2018.8553501","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570438233.pdf","bibtex":"@InProceedings{8553501,\n author = {D. Salvati and C. Drioli and G. L. Foresti},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {Joint Identification and Localization of a Speaker in Adverse Conditions Using a Microphone Array},\n year = {2018},\n pages = {21-25},\n abstract = {We discuss a joint identification and localization microphone array system based on diagonal unloading (DU) beamforming, which has been recently introduced for acoustic source localization. First, we propose a DU beamformer version for the signal enhancement problem. Then, we propose a enhanced DU steered response power (SRP), in which the first estimate of the source position is further refined with the information gathered from the speaker recognition module. The enhanced SRP-DU is obtained by weighting the frequency components with respect to the spectral characteristics of the speaker. The approach does not add significant computational load to the array processing. Experiments conducted in noisy and reverberant conditions show that the use of the DU beamformer provides better speaker recognition performance if compared to the conventional one since it reduces deleterious effects due to the spatially white noise and point-source interferences. Simulations also show that the speaker identification can improve the localization accuracy, and it is thus interesting for applications and systems which rely on Intearated localization and speaker identification.},\n keywords = {acoustic signal processing;array signal processing;correlation methods;direction-of-arrival estimation;microphone arrays;reverberation;signal classification;speaker recognition;white noise;joint identification;adverse conditions;localization microphone array system;diagonal unloading beamforming;acoustic source localization;DU beamformer version;signal enhancement problem;enhanced DU;response power;source position;speaker recognition module;enhanced SRP-DU;frequency components;spectral characteristics;array processing;noisy conditions;reverberant conditions;speaker recognition performance;point-source interferences;speaker identification;localization accuracy;Intearated localization;computational load;Array signal processing;Microphone arrays;Covariance matrices;Mel frequency cepstral coefficient;Direction-of-arrival estimation;Acoustic source localization;speaker identification;beamforming;diagonal unloading;microphone array},\n doi = {10.23919/EUSIPCO.2018.8553501},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570438233.pdf},\n}\n\n","author_short":["Salvati, D.","Drioli, C.","Foresti, G. L."],"key":"8553501","id":"8553501","bibbaseid":"salvati-drioli-foresti-jointidentificationandlocalizationofaspeakerinadverseconditionsusingamicrophonearray-2018","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570438233.pdf"},"keyword":["acoustic signal processing;array signal processing;correlation methods;direction-of-arrival estimation;microphone arrays;reverberation;signal classification;speaker recognition;white noise;joint identification;adverse conditions;localization microphone array system;diagonal unloading beamforming;acoustic source localization;DU beamformer version;signal enhancement problem;enhanced DU;response power;source position;speaker recognition module;enhanced SRP-DU;frequency components;spectral characteristics;array processing;noisy conditions;reverberant conditions;speaker recognition performance;point-source interferences;speaker identification;localization accuracy;Intearated localization;computational load;Array signal processing;Microphone arrays;Covariance matrices;Mel frequency cepstral coefficient;Direction-of-arrival estimation;Acoustic source localization;speaker identification;beamforming;diagonal unloading;microphone array"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2018url.bib","creationDate":"2021-02-13T15:38:40.463Z","downloads":0,"keywords":["acoustic signal processing;array signal processing;correlation methods;direction-of-arrival estimation;microphone arrays;reverberation;signal classification;speaker recognition;white noise;joint identification;adverse conditions;localization microphone array system;diagonal unloading beamforming;acoustic source localization;du beamformer version;signal enhancement problem;enhanced du;response power;source position;speaker recognition module;enhanced srp-du;frequency components;spectral characteristics;array processing;noisy conditions;reverberant conditions;speaker recognition performance;point-source interferences;speaker identification;localization accuracy;intearated localization;computational load;array signal processing;microphone arrays;covariance matrices;mel frequency cepstral coefficient;direction-of-arrival estimation;acoustic source localization;speaker identification;beamforming;diagonal unloading;microphone array"],"search_terms":["joint","identification","localization","speaker","adverse","conditions","using","microphone","array","salvati","drioli","foresti"],"title":"Joint Identification and Localization of a Speaker in Adverse Conditions Using a Microphone Array","year":2018,"dataSources":["yiZioZximP7hphDpY","iuBeKSmaES2fHcEE9"]}